Vol. 4 No. 2 (2024): African Journal of Artificial Intelligence and Sustainable Development
Articles

The Application of Deep Learning Techniques in Advanced Robotics for Medicine Manufacturing in the USA

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  • Dr. Peter Ivanov
Dr. Peter Ivanov
Professor of Artificial Intelligence, Lomonosov Moscow State University, Russia

Published 28-09-2024

Keywords

  • Advanced Robotics,
  • Medicine Manufacturing
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Peter Ivanov, “The Application of Deep Learning Techniques in Advanced Robotics for Medicine Manufacturing in the USA”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 2, pp. 178–192, Sep. 2024, Accessed: Oct. 16, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/159

Abstract

Humanity is attracted to and fascinated by wondrous miracles. From the invention of the wheel to the advancement of Artificial Intelligence (AI), the ability of humans to simulate and ameliorate natural landscapes, using artificially simulated materials, has been an intriguing phenomenon. Following this thought process of AI, its growing adoption in medical settings has led scientists to envision the idea of building nanobots for the surgical process, in tandem with neural networks, computer-assisted systems, and robotics machinery, to handle complicated surgical techniques [1]. With this idea in mind, specific queries arise: How far have scientists gone in realization of this ideology? There is a growing concern among medical practitioners regarding the constraints, challenges, and efficacy of AI systems in advanced robotic machinery applied on patients. This review explores the application of deep learning techniques in advanced robotics for medicine manufacturing in the USA, covering recent advancements and breakthroughs.

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